Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fuzzy BWM× | Kopējā proporcionālā novērtēšana× | Novērtēšana, balstoties uz atšķirību no vidējā risinājuma× | |
|---|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM | MCDM |
| Izcelsmes gads≠ | 2015 crisp; 2017 variant applicator | 1996 | 2015 |
| Autors≠ | Guo, S., Zhao, H. | Zavadskas, E. K., Kaklauskas, A. | Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. |
| Tips≠ | Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming | Proportional assessment (benefit/cost split) | Distance from average solution |
| Pirmavots≠ | Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems DOI ↗ | Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65 link ↗ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗ |
| Citi nosaukumi | — | — | — |
| Saistītās | 8 | 8 | 8 |
| Kopsavilkums≠ | FUZZY-BWM (Fuzzy BWM — Triangular Fuzzy Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Guo, S., Zhao, H. in 2015 crisp; 2017 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
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